Követés
Lukas Drude
Lukas Drude
Applied Scientist @ Amazon Alexa
E-mail megerősítve itt: amazon.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Neural network based spectral mask estimation for acoustic beamforming
J Heymann, L Drude, R Haeb-Umbach
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
5492016
Photovoltaics (PV) and electric vehicle-to-grid (V2G) strategies for peak demand reduction in urban regions in Brazil in a smart grid environment
L Drude, LCP Junior, R Rüther
Renewable Energy 68, 443-451, 2014
1902014
BLSTM supported GEV beamformer front-end for the 3rd CHiME challenge
J Heymann, L Drude, A Chinaev, R Haeb-Umbach
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015
1822015
Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system
J Heymann, L Drude, C Boeddeker, P Hanebrink, R Haeb-Umbach
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
1492017
Front-end processing for the CHiME-5 dinner party scenario
C Boeddeker, J Heitkaemper, J Schmalenstroeer, L Drude, J Heymann, ...
CHiME5 Workshop, Hyderabad, India 1, 2018
1362018
NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing
L Drude, J Heymann, C Boeddeker, R Haeb-Umbach
Speech Communication; 13th ITG-Symposium, 1-5, 2018
1232018
Far-field automatic speech recognition
R Haeb-Umbach, J Heymann, L Drude, S Watanabe, M Delcroix, ...
Proceedings of the IEEE 109 (2), 124-148, 2020
1142020
Listening to each speaker one by one with recurrent selective hearing networks
K Kinoshita, L Drude, M Delcroix, T Nakatani
2018 IEEE international conference on acoustics, speech and signal …, 2018
862018
SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition
L Drude, J Heitkaemper, C Boeddeker, R Haeb-Umbach
arXiv preprint arXiv:1910.13934, 2019
832019
Wide residual BLSTM network with discriminative speaker adaptation for robust speech recognition
LD Jahn Heymann, R Haeb-Umbach
Proceedings of the 4th International Workshop on Speech Processing in …, 2016
722016
Demystifying TasNet: A dissecting approach
J Heitkaemper, D Jakobeit, C Boeddeker, L Drude, R Haeb-Umbach
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
682020
Unsupervised training of a deep clustering model for multichannel blind source separation
L Drude, D Hasenklever, R Haeb-Umbach
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
642019
A generic neural acoustic beamforming architecture for robust multi-channel speech processing
J Heymann, L Drude, R Haeb-Umbach
Computer Speech & Language 46, 374-385, 2017
642017
Tight Integration of Spatial and Spectral Features for BSS with Deep Clustering Embeddings.
L Drude, R Haeb-Umbach
Interspeech, 2650-2654, 2017
572017
Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.
J Ebbers, J Heymann, L Drude, T Glarner, R Haeb-Umbach, B Raj
InterSpeech, 488-492, 2017
542017
The RWTH/UPB/FORTH system combination for the 4th CHiME challenge evaluation
T Menne
Deutsche Nationalbibliothek, 2016
532016
Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR
T von Neumann, C Boeddeker, L Drude, K Kinoshita, M Delcroix, ...
arXiv preprint arXiv:2006.02786, 2020
492020
Integration of neural networks and probabilistic spatial models for acoustic blind source separation
L Drude, R Haeb-Umbach
IEEE Journal of Selected Topics in Signal Processing 13 (4), 815-826, 2019
472019
End-to-end training of time domain audio separation and recognition
T von Neumann, K Kinoshita, L Drude, C Boeddeker, M Delcroix, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
432020
Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation.
L Drude, C Boeddeker, J Heymann, R Haeb-Umbach, K Kinoshita, ...
Interspeech, 3043-3047, 2018
432018
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